The graph represents a network of 9,745 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 05:02 UTC.
The requested start date was Monday, 14 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 34-minute period from Thursday, 10 June 2021 at 10:37 UTC to Sunday, 13 June 2021 at 11:11 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 9745
Unique Edges : 5495
Edges With Duplicates : 11838
Total Edges : 17333
Number of Edge Types : 5
Retweet : 5414
MentionsInRetweet : 6690
Tweet : 1941
Replies to : 696
Mentions : 2592
Self-Loops : 1992
Reciprocated Vertex Pair Ratio : 0.0102915951972556
Reciprocated Edge Ratio : 0.0203735144312394
Connected Components : 2222
Single-Vertex Connected Components : 746
Maximum Vertices in a Connected Component : 1842
Maximum Edges in a Connected Component : 4157
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.698587
Graph Density : 9.92467190871324E-05
Modularity : 0.579437
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,745 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 05:02 UTC.
The requested start date was Monday, 14 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 34-minute period from Thursday, 10 June 2021 at 10:37 UTC to Sunday, 13 June 2021 at 11:11 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : healthcare
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[408] covid,19 [403] healthcare,system [355] healthcare,workers [270] health,care [270] แหม,คนไร [270] คนไร,บ [270] บ,านท [270] านท,เมกา [270] เมกา,ร [270] ร,ฐม Top Word Pairs in Tweet in G1:
[43] covid,19 [31] healthcare,workers [30] healthcare,system [21] healthcare,professionals [19] #healthcare,#health [17] health,care [17] healthcare,worker [16] healthcare,services [14] healthcare,provider [12] healthcare,education Top Word Pairs in Tweet in G2:
[196] covid,19 [132] astrazeneca,shots [123] 19,vaccine [106] shots,halted [106] halted,over [106] over,60s [106] 60s,ema [106] ema,official [101] reuters,astrazeneca [99] 500,million Top Word Pairs in Tweet in G3:
[26] artificial,intelligence [17] #healthcare,#covid19 [17] #covid19,#bigdata [17] #bigdata,#devcommunity [17] #devcommunity,#programming [17] #programming,#ai [17] #ai,#iiot [17] #iiot,#100daysofcode [17] #100daysofcode,#linux [16] chidambara09,#healthcare Top Word Pairs in Tweet in G4:
[270] แหม,คนไร [270] คนไร,บ [270] บ,านท [270] านท,เมกา [270] เมกา,ร [270] ร,ฐม [270] ฐม,สว [270] สว,สด [270] สด,การ [270] การ,support Top Word Pairs in Tweet in G5:
[206] health,care [201] allied,health [189] need,health [189] care,workers [189] workers,increasing [189] increasing,day [189] day,day [189] day,due [189] diseases,dire [189] dire,need Top Word Pairs in Tweet in G6:
[134] interview,karenni [134] karenni,pdf [134] bbcburmese,running [134] running,food [134] food,lack [134] lack,access [134] access,healthcare [134] healthcare,quite [134] quite,worrying [111] zwelwinmyanmar,interview Top Word Pairs in Tweet in G7:
[30] healthcare,system [29] myanmar's,state [29] state,run [29] run,healthcare [29] system,collapsing [29] collapsing,under [29] under,junta [29] junta,soldiers [29] soldiers,occupied [29] occupied,hospitals Top Word Pairs in Tweet in G8:
[32] healthcare,staff [32] staff,being [32] being,abused [32] abused,general [32] general,public [32] public,social [32] social,media [32] media,person [32] person,escalating [32] escalating,stop Top Word Pairs in Tweet in G9:
[22] civil,engineering [22] engineering,department [22] department,iitmadras [22] iitmadras,collaborated [22] collaborated,chengalpattu [22] chengalpattu,medical [22] medical,college [22] college,hospital [22] hospital,cmch [21] compliment,iglsocial Top Word Pairs in Tweet in G10:
[110] sigh,unfair [110] unfair,sha [110] sha,nigerian [110] nigerian,doctors [110] doctors,perform [110] perform,miracles [110] miracles,daily [110] daily,despite [110] despite,terrible [110] terrible,state Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: